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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,356 datasets
Data associated with the paper 'Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders'. The dataset is used for training and evaluating Scale-RAE, a framework investigating scaling Representation Autoencoders for large-scale, freeform text-to-image generation. It includes web, synthetic, and text-rendering data for scaling RAE decoders beyond ImageNet.
A collection of medical images for detecting skin cancer, likely using convolutional neural networks. The dataset is hosted on Kaggle, but details on its size, origin, and specific contents are not provided in the metadata. Further verification is required to confirm the exact number of images, annotation quality, and collection methodology.
Srinivasulu_yolov8 is a dataset published on Kaggle, likely for training or benchmarking object detection models using the YOLOv8 architecture. The dataset's specific content, such as the number of images or annotations, is not detailed in the available metadata. Its origin and creation details are also unspecified.
A dataset titled 'geo-velo-keypoints' published on Kaggle. The title suggests it contains geospatial keypoint data, likely for computer vision tasks. The dataset's specific content, size, and origin require verification after download.
A dataset for brain tumor detection, likely containing medical images such as MRI or CT scans. It is hosted on Kaggle and appears designed for training and evaluating Mask R-CNN models. The specific volume, source, and collection date are not provided in the available metadata.
PASCOL_VOC_YOLOv1 is a computer vision dataset hosted on Kaggle. The title suggests it is likely related to the PASCAL Visual Object Classes (VOC) challenge and the YOLOv1 object detection model. Specific details on size, origin, and update history are not provided in the available metadata.
A dataset named 'metagan_model' published on Kaggle. The title suggests it contains data related to Generative Adversarial Network (GAN) models, likely outputs or training artifacts. Specific details on volume, creator, and update history are unavailable.
A collection of brain scan images intended for training Convolutional Neural Networks (CNNs) for tumor detection and classification. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Specific details on the number of images, collection method, and source institution are not provided in the available metadata.
An image dataset likely intended for training and evaluating Convolutional Neural Networks. The dataset is hosted on Kaggle, but its specific contents, size, and creation details are not provided in the available metadata. Its exact subject matter, scale, and origin require verification after download.
Cropped facial images of religious prototypes and associated metadata used to study the evolution of Da A Fu folk icons. Created by Tiancheng Li and published via the Humanities & Social Sciences Communications Dataverse in 2026, it includes the full SSIM analysis code and environment documentation required for replication.
A Techsalerator dataset provides information related to YouTube and video content from Uganda. The specific number of records, columns, and collection methodology are not detailed in the available metadata. The dataset's origin is attributed to the Techsalerator organization, but the author and last update date are unknown.
SA-YOLOX-Thesis-Model is a dataset published on Kaggle. The title suggests it is related to the YOLOX object detection model, likely for a thesis project. The dataset's specific content, size, and origin are not detailed in the provided metadata.
ISL Gesture Image Dataset likely contains images of hand gestures for Indian Sign Language. The dataset is published on Kaggle, but its specific size, collection method, and creator are not detailed in the provided metadata. Potential applications include training models for sign language interpretation and gesture-based human-computer interaction.
YOLO11-PCB-Best is a dataset for object detection, likely containing images of printed circuit boards. The dataset is hosted on Kaggle, but its specific scale, creation details, and annotation methodology are not provided in the available metadata. Further details about the number of images, annotation classes, and data collection process require verification after accessing the dataset files.
YOLO-checkpoints likely contains pre-trained model weights for the YOLO (You Only Look Once) object detection architecture. The dataset is hosted on Kaggle, but specific details about the number of models, training data, or version are unavailable from the provided metadata. Further verification is required to confirm the exact contents and structure.
A dataset titled 'dcnn_code_v1' hosted on Kaggle. The dataset's title suggests a focus on deep convolutional neural networks, likely containing code, model weights, or related assets. No further metadata is available to confirm its specific contents, size, or authorship.
This dataset supports replication of the article 'Political Dynasties in Defense of Democracy: The Case of France’s 1940 Enabling Act'. It contains codes and data to replicate the article's table and online appendix. The author is Pierre-Guillaume Méon.
This dataset supports replication of the article 'Political Dynasties in Defense of Democracy: The Case of France’s 1940 Enabling Act'. It contains the dataset, codes, and online appendix for the analysis. The author is Pierre-Guillaume Méon.
This replication package contains files and code to reproduce the analysis from the article 'Landholding Inequality and the Consolidation of Democracy: Evidence from Nineteenth-Century France'. It is associated with census data, agricultural surveys, and general election records. The author is Adrien Montalbo, and the dataset was last updated in February 2026.
This replication package contains data and code for analyzing the relationship between landholding inequality and democratic consolidation in 19th-century France. It includes files to replicate tables from the main article and its appendix. The specific row count, column count, and data structure are not provided in the input.